Overview

Dataset statistics

Number of variables20
Number of observations295679
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory45.1 MiB
Average record size in memory160.0 B

Variable types

Numeric20

Alerts

CO (ppm) is highly overall correlated with Time (s) and 8 other fieldsHigh correlation
Heater voltage (V) is highly overall correlated with R4 (MOhm) and 10 other fieldsHigh correlation
R1 (MOhm) is highly overall correlated with R2 (MOhm) and 10 other fieldsHigh correlation
R2 (MOhm) is highly overall correlated with R1 (MOhm) and 8 other fieldsHigh correlation
R3 (MOhm) is highly overall correlated with R1 (MOhm) and 5 other fieldsHigh correlation
R4 (MOhm) is highly overall correlated with Heater voltage (V) and 13 other fieldsHigh correlation
R5 (MOhm) is highly overall correlated with Heater voltage (V) and 13 other fieldsHigh correlation
R6 (MOhm) is highly overall correlated with Heater voltage (V) and 13 other fieldsHigh correlation
R7 (MOhm) is highly overall correlated with Heater voltage (V) and 13 other fieldsHigh correlation
R8 (MOhm) is highly overall correlated with CO (ppm) and 12 other fieldsHigh correlation
R9 (MOhm) is highly overall correlated with CO (ppm) and 13 other fieldsHigh correlation
R10 (MOhm) is highly overall correlated with CO (ppm) and 12 other fieldsHigh correlation
R11 (MOhm) is highly overall correlated with CO (ppm) and 11 other fieldsHigh correlation
R12 (MOhm) is highly overall correlated with CO (ppm) and 13 other fieldsHigh correlation
R13 (MOhm) is highly overall correlated with Time (s) and 14 other fieldsHigh correlation
R14 (MOhm) is highly overall correlated with CO (ppm) and 11 other fieldsHigh correlation
Time (s) is highly overall correlated with CO (ppm) and 2 other fieldsHigh correlation
Humidity (%r.h.) is highly overall correlated with Time (s) and 1 other fieldsHigh correlation
Flow rate (mL/min) is highly skewed (γ1 = -107.9965091)Skewed
Time (s) is uniformly distributedUniform
Time (s) has unique valuesUnique
CO (ppm) has 32184 (10.9%) zerosZeros

Reproduction

Analysis started2022-12-20 08:44:04.109055
Analysis finished2022-12-20 08:45:55.090348
Duration1 minute and 50.98 seconds
Software versionpandas-profiling vv3.5.0
Download configurationconfig.json

Variables

Time (s)
Real number (ℝ)

HIGH CORRELATION
UNIFORM
UNIQUE

Distinct295679
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean45457.564
Minimum0
Maximum90907.614
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2022-12-20T14:15:55.266411image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4549.889
Q122729.456
median45452.478
Q368193.511
95-th percentile86361.007
Maximum90907.614
Range90907.614
Interquartile range (IQR)45464.056

Descriptive statistics

Standard deviation26242.016
Coefficient of variation (CV)0.57728602
Kurtosis-1.2003094
Mean45457.564
Median Absolute Deviation (MAD)22732.135
Skewness-0.0002020939
Sum1.3440847 × 1010
Variance6.886434 × 108
MonotonicityStrictly increasing
2022-12-20T14:15:55.621739image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1
 
< 0.1%
60650.134 1
 
< 0.1%
60621.865 1
 
< 0.1%
60621.556 1
 
< 0.1%
60621.246 1
 
< 0.1%
60620.937 1
 
< 0.1%
60620.629 1
 
< 0.1%
60620.319 1
 
< 0.1%
60620.011 1
 
< 0.1%
60619.701 1
 
< 0.1%
Other values (295669) 295669
> 99.9%
ValueCountFrequency (%)
0 1
< 0.1%
0.307 1
< 0.1%
0.617 1
< 0.1%
0.924 1
< 0.1%
1.234 1
< 0.1%
1.541 1
< 0.1%
1.85 1
< 0.1%
2.16 1
< 0.1%
2.469 1
< 0.1%
2.779 1
< 0.1%
ValueCountFrequency (%)
90907.614 1
< 0.1%
90907.305 1
< 0.1%
90906.996 1
< 0.1%
90906.687 1
< 0.1%
90906.378 1
< 0.1%
90906.068 1
< 0.1%
90905.758 1
< 0.1%
90905.451 1
< 0.1%
90905.142 1
< 0.1%
90904.834 1
< 0.1%

CO (ppm)
Real number (ℝ)

HIGH CORRELATION
ZEROS

Distinct298
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.8994144
Minimum0
Maximum20
Zeros32184
Zeros (%)10.9%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2022-12-20T14:15:55.782719image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14.44
median8.89
Q315.56
95-th percentile20
Maximum20
Range20
Interquartile range (IQR)11.12

Descriptive statistics

Standard deviation6.4275446
Coefficient of variation (CV)0.64928533
Kurtosis-1.2332605
Mean9.8994144
Median Absolute Deviation (MAD)6.67
Skewness0.0092530907
Sum2927049
Variance41.31333
MonotonicityNot monotonic
2022-12-20T14:15:55.945333image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 32184
10.9%
4.44 29280
9.9%
8.89 29264
9.9%
13.33 29259
9.9%
15.56 29252
9.9%
20 29245
9.9%
2.22 29241
9.9%
11.11 29229
9.9%
17.78 29220
9.9%
6.67 29215
9.9%
Other values (288) 290
 
0.1%
ValueCountFrequency (%)
0 32184
10.9%
0.0711 1
 
< 0.1%
0.18 1
 
< 0.1%
0.4351 1
 
< 0.1%
0.4623 1
 
< 0.1%
0.4928 1
 
< 0.1%
0.5195 1
 
< 0.1%
0.5239 1
 
< 0.1%
0.5372 1
 
< 0.1%
0.6756 1
 
< 0.1%
ValueCountFrequency (%)
20 29245
9.9%
19.8933 1
 
< 0.1%
19.7158 1
 
< 0.1%
19.5049 1
 
< 0.1%
19.4133 1
 
< 0.1%
19.0002 1
 
< 0.1%
18.8256 1
 
< 0.1%
18.8056 1
 
< 0.1%
18.76 1
 
< 0.1%
18.4751 1
 
< 0.1%

Humidity (%r.h.)
Real number (ℝ)

Distinct20883
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51.443415
Minimum20.78
Maximum83.81
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2022-12-20T14:15:56.120087image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum20.78
5-th percentile31.71
Q143.36
median52.61
Q360.61
95-th percentile69.79
Maximum83.81
Range63.03
Interquartile range (IQR)17.25

Descriptive statistics

Standard deviation11.984236
Coefficient of variation (CV)0.23295957
Kurtosis-0.58083913
Mean51.443415
Median Absolute Deviation (MAD)8.5
Skewness-0.26920017
Sum15210738
Variance143.62191
MonotonicityNot monotonic
2022-12-20T14:15:56.288830image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33.88 2582
 
0.9%
53.62 1782
 
0.6%
32.78 1749
 
0.6%
33.35 1607
 
0.5%
53.6 1577
 
0.5%
57.7 1445
 
0.5%
34.93 1435
 
0.5%
53.63 1355
 
0.5%
35.43 1324
 
0.4%
34.89 1288
 
0.4%
Other values (20873) 279535
94.5%
ValueCountFrequency (%)
20.78 158
0.1%
20.8192 1
 
< 0.1%
20.8355 1
 
< 0.1%
20.9926 1
 
< 0.1%
21.1655 1
 
< 0.1%
21.1785 1
 
< 0.1%
21.3389 1
 
< 0.1%
21.3396 1
 
< 0.1%
21.3398 1
 
< 0.1%
21.34 237
0.1%
ValueCountFrequency (%)
83.81 59
< 0.1%
83.8099 1
 
< 0.1%
83.8097 1
 
< 0.1%
83.8096 1
 
< 0.1%
83.7321 1
 
< 0.1%
83.5879 1
 
< 0.1%
83.4428 1
 
< 0.1%
83.34 10
 
< 0.1%
83.3399 1
 
< 0.1%
83.3398 1
 
< 0.1%

Temperature (C)
Real number (ℝ)

Distinct7360
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.045859
Minimum9.9032
Maximum25.86
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2022-12-20T14:15:56.459902image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum9.9032
5-th percentile24.18
Q124.86
median25.02
Q325.34
95-th percentile25.66
Maximum25.86
Range15.9568
Interquartile range (IQR)0.48

Descriptive statistics

Standard deviation0.42445315
Coefficient of variation (CV)0.016947039
Kurtosis7.0835881
Mean25.045859
Median Absolute Deviation (MAD)0.24
Skewness-0.62658917
Sum7405534.5
Variance0.18016047
MonotonicityNot monotonic
2022-12-20T14:15:56.619519image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
24.94 22217
 
7.5%
24.98 17902
 
6.1%
25.02 16332
 
5.5%
25.26 14076
 
4.8%
25.62 12856
 
4.3%
25.18 12684
 
4.3%
24.9 12356
 
4.2%
24.14 11095
 
3.8%
24.86 10987
 
3.7%
25.3 10760
 
3.6%
Other values (7350) 154414
52.2%
ValueCountFrequency (%)
9.9032 1
 
< 0.1%
13.7998 1
 
< 0.1%
17.7318 1
 
< 0.1%
21.6256 1
 
< 0.1%
24.06 278
0.1%
24.0607 1
 
< 0.1%
24.0608 2
 
< 0.1%
24.0609 1
 
< 0.1%
24.0613 1
 
< 0.1%
24.0615 2
 
< 0.1%
ValueCountFrequency (%)
25.86 1126
0.4%
25.8598 1
 
< 0.1%
25.8596 3
 
< 0.1%
25.8594 1
 
< 0.1%
25.8588 1
 
< 0.1%
25.8587 1
 
< 0.1%
25.8585 1
 
< 0.1%
25.8584 1
 
< 0.1%
25.8582 1
 
< 0.1%
25.8575 1
 
< 0.1%

Flow rate (mL/min)
Real number (ℝ)

Distinct11289
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean239.94666
Minimum0
Maximum275.2305
Zeros11
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2022-12-20T14:15:56.787761image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile239.759
Q1239.8968
median239.9717
Q3240.0434
95-th percentile240.1774
Maximum275.2305
Range275.2305
Interquartile range (IQR)0.1466

Descriptive statistics

Standard deviation1.8404472
Coefficient of variation (CV)0.007670235
Kurtosis13278.855
Mean239.94666
Median Absolute Deviation (MAD)0.0733
Skewness-107.99651
Sum70947188
Variance3.387246
MonotonicityNot monotonic
2022-12-20T14:15:56.934877image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
239.981 143
 
< 0.1%
239.9574 142
 
< 0.1%
239.987 141
 
< 0.1%
239.9727 139
 
< 0.1%
240.0014 138
 
< 0.1%
239.9995 137
 
< 0.1%
239.9692 135
 
< 0.1%
240.0009 135
 
< 0.1%
239.9884 134
 
< 0.1%
239.972 134
 
< 0.1%
Other values (11279) 294301
99.5%
ValueCountFrequency (%)
0 11
< 0.1%
0.9584 1
 
< 0.1%
18.7833 1
 
< 0.1%
60.266 1
 
< 0.1%
74.9915 1
 
< 0.1%
92.2314 1
 
< 0.1%
133.3308 1
 
< 0.1%
136.7008 1
 
< 0.1%
141.0782 1
 
< 0.1%
149.0245 1
 
< 0.1%
ValueCountFrequency (%)
275.2305 1
< 0.1%
270.9762 1
< 0.1%
262.7539 1
< 0.1%
262.543 1
< 0.1%
259.009 1
< 0.1%
258.8157 1
< 0.1%
258.1985 1
< 0.1%
257.6023 1
< 0.1%
257.0918 1
< 0.1%
256.6054 1
< 0.1%

Heater voltage (V)
Real number (ℝ)

Distinct1741
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.35504491
Minimum0.1982
Maximum0.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2022-12-20T14:15:57.094217image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0.1982
5-th percentile0.1992
Q10.2
median0.2
Q30.207
95-th percentile0.8987
Maximum0.9
Range0.7018
Interquartile range (IQR)0.007

Descriptive statistics

Standard deviation0.28848907
Coefficient of variation (CV)0.81254247
Kurtosis-0.20776157
Mean0.35504491
Median Absolute Deviation (MAD)0.0001
Skewness1.3364152
Sum104979.32
Variance0.083225943
MonotonicityNot monotonic
2022-12-20T14:15:57.247838image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2 145951
49.4%
0.898 21501
 
7.3%
0.899 10640
 
3.6%
0.199 6836
 
2.3%
0.201 6002
 
2.0%
0.1992 4553
 
1.5%
0.1997 4543
 
1.5%
0.1991 4514
 
1.5%
0.1999 4467
 
1.5%
0.1995 4459
 
1.5%
Other values (1731) 82213
27.8%
ValueCountFrequency (%)
0.1982 4
 
< 0.1%
0.1983 2
 
< 0.1%
0.1984 2
 
< 0.1%
0.1985 1
 
< 0.1%
0.1986 1
 
< 0.1%
0.1987 4
 
< 0.1%
0.1988 3
 
< 0.1%
0.1989 1
 
< 0.1%
0.199 6836
2.3%
0.1991 4514
1.5%
ValueCountFrequency (%)
0.9 31
< 0.1%
0.8999 37
< 0.1%
0.8998 42
< 0.1%
0.8997 41
< 0.1%
0.8996 38
< 0.1%
0.8995 61
< 0.1%
0.8994 56
< 0.1%
0.8993 48
< 0.1%
0.8992 61
< 0.1%
0.8991 50
< 0.1%

R1 (MOhm)
Real number (ℝ)

Distinct8541
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.083439
Minimum0.0315
Maximum105.4143
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2022-12-20T14:15:57.417131image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0.0315
5-th percentile0.0786
Q10.333
median1.0215
Q318.4647
95-th percentile64.102
Maximum105.4143
Range105.3828
Interquartile range (IQR)18.1317

Descriptive statistics

Standard deviation21.342049
Coefficient of variation (CV)1.6312262
Kurtosis1.7371808
Mean13.083439
Median Absolute Deviation (MAD)0.9372
Skewness1.6881126
Sum3868498.3
Variance455.48308
MonotonicityNot monotonic
2022-12-20T14:15:57.578478image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0948 642
 
0.2%
0.0944 642
 
0.2%
0.095 632
 
0.2%
0.0947 591
 
0.2%
0.0942 580
 
0.2%
0.0946 575
 
0.2%
0.0954 570
 
0.2%
0.0939 569
 
0.2%
0.0943 568
 
0.2%
0.094 568
 
0.2%
Other values (8531) 289742
98.0%
ValueCountFrequency (%)
0.0315 1
< 0.1%
0.0317 1
< 0.1%
0.0319 1
< 0.1%
0.0322 1
< 0.1%
0.0325 1
< 0.1%
0.0326 2
< 0.1%
0.0328 2
< 0.1%
0.0329 1
< 0.1%
0.0332 1
< 0.1%
0.0333 2
< 0.1%
ValueCountFrequency (%)
105.4143 1
 
< 0.1%
102.9706 2
 
< 0.1%
101.6844 2
 
< 0.1%
100.6367 11
 
< 0.1%
99.4072 18
 
< 0.1%
98.4052 20
< 0.1%
97.2289 26
< 0.1%
96.2696 22
< 0.1%
95.143 32
< 0.1%
94.2239 46
< 0.1%

R2 (MOhm)
Real number (ℝ)

Distinct8250
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.265408
Minimum0.0548
Maximum142.5199
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2022-12-20T14:15:57.838620image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0.0548
5-th percentile0.1395
Q10.423
median0.9784
Q320.1415
95-th percentile75.0345
Maximum142.5199
Range142.4651
Interquartile range (IQR)19.7185

Descriptive statistics

Standard deviation25.208724
Coefficient of variation (CV)1.6513626
Kurtosis1.1054149
Mean15.265408
Median Absolute Deviation (MAD)0.8352
Skewness1.5789361
Sum4513660.4
Variance635.47975
MonotonicityNot monotonic
2022-12-20T14:15:57.986228image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
78.3034 851
 
0.3%
79.7171 842
 
0.3%
79.0683 821
 
0.3%
77.677 800
 
0.3%
76.9383 795
 
0.3%
81.1822 781
 
0.3%
76.3332 772
 
0.3%
82.7015 755
 
0.3%
82.004 739
 
0.2%
80.5097 737
 
0.2%
Other values (8240) 287786
97.3%
ValueCountFrequency (%)
0.0548 1
< 0.1%
0.0555 1
< 0.1%
0.056 1
< 0.1%
0.0564 1
< 0.1%
0.0571 1
< 0.1%
0.0573 1
< 0.1%
0.0574 1
< 0.1%
0.0584 1
< 0.1%
0.0586 2
< 0.1%
0.0594 2
< 0.1%
ValueCountFrequency (%)
142.5199 1
 
< 0.1%
135.8172 1
 
< 0.1%
119.5851 1
 
< 0.1%
116.4568 1
 
< 0.1%
113.4868 4
 
< 0.1%
111.9292 1
 
< 0.1%
109.181 3
 
< 0.1%
107.9756 6
 
< 0.1%
106.5634 8
< 0.1%
105.4143 16
< 0.1%

R3 (MOhm)
Real number (ℝ)

Distinct8323
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.723427
Minimum0.051
Maximum185.8025
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2022-12-20T14:15:58.155718image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0.051
5-th percentile0.1099
Q10.4688
median2.1489
Q334.9838
95-th percentile77.2091
Maximum185.8025
Range185.7515
Interquartile range (IQR)34.515

Descriptive statistics

Standard deviation26.7043
Coefficient of variation (CV)1.4262507
Kurtosis0.25043273
Mean18.723427
Median Absolute Deviation (MAD)2.0362
Skewness1.2760085
Sum5536124.1
Variance713.11964
MonotonicityNot monotonic
2022-12-20T14:15:58.312900image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
82.2033 933
 
0.3%
81.51 897
 
0.3%
83.7703 870
 
0.3%
80.6932 842
 
0.3%
80.0247 835
 
0.3%
83.0507 827
 
0.3%
79.2369 818
 
0.3%
78.592 805
 
0.3%
84.6501 798
 
0.3%
85.3974 798
 
0.3%
Other values (8313) 287256
97.2%
ValueCountFrequency (%)
0.051 2
< 0.1%
0.0518 1
 
< 0.1%
0.0525 1
 
< 0.1%
0.0539 1
 
< 0.1%
0.0542 1
 
< 0.1%
0.0553 2
< 0.1%
0.0557 1
 
< 0.1%
0.0558 2
< 0.1%
0.0559 3
< 0.1%
0.0564 1
 
< 0.1%
ValueCountFrequency (%)
185.8025 1
 
< 0.1%
123.6951 1
 
< 0.1%
112.8031 1
 
< 0.1%
109.9965 1
 
< 0.1%
108.5233 2
 
< 0.1%
107.3251 7
 
< 0.1%
105.9214 15
 
< 0.1%
104.7792 23
 
< 0.1%
103.4404 31
< 0.1%
102.3503 58
< 0.1%

R4 (MOhm)
Real number (ℝ)

Distinct8136
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.355204
Minimum0.038
Maximum95.1847
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2022-12-20T14:15:58.483674image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0.038
5-th percentile0.1
Q11.07355
median16.6385
Q331.0671
95-th percentile48.4545
Maximum95.1847
Range95.1467
Interquartile range (IQR)29.99355

Descriptive statistics

Standard deviation16.723148
Coefficient of variation (CV)0.91108484
Kurtosis-0.68201582
Mean18.355204
Median Absolute Deviation (MAD)15.1996
Skewness0.5501912
Sum5427248.3
Variance279.66368
MonotonicityNot monotonic
2022-12-20T14:15:58.638871image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36.1399 857
 
0.3%
34.9216 841
 
0.3%
33.3338 822
 
0.3%
36.3021 810
 
0.3%
33.5001 799
 
0.3%
35.1038 799
 
0.3%
33.9517 796
 
0.3%
34.2691 795
 
0.3%
36.6641 794
 
0.3%
34.7712 785
 
0.3%
Other values (8126) 287581
97.3%
ValueCountFrequency (%)
0.038 1
< 0.1%
0.0385 1
< 0.1%
0.0386 1
< 0.1%
0.0389 1
< 0.1%
0.0394 1
< 0.1%
0.0395 1
< 0.1%
0.0396 1
< 0.1%
0.0397 1
< 0.1%
0.0399 1
< 0.1%
0.0401 2
< 0.1%
ValueCountFrequency (%)
95.1847 1
 
< 0.1%
80.9098 2
 
< 0.1%
80.1281 2
 
< 0.1%
79.2097 1
 
< 0.1%
78.4601 2
 
< 0.1%
77.5789 8
 
< 0.1%
76.8594 10
< 0.1%
76.0133 14
< 0.1%
75.3221 14
< 0.1%
74.5089 23
< 0.1%

R5 (MOhm)
Real number (ℝ)

Distinct8292
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.474432
Minimum0.0449
Maximum122.6378
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2022-12-20T14:15:58.796284image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0.0449
5-th percentile0.1127
Q11.0128
median23.8188
Q347.0253
95-th percentile74.8839
Maximum122.6378
Range122.5929
Interquartile range (IQR)46.0125

Descriptive statistics

Standard deviation25.926966
Coefficient of variation (CV)0.94367613
Kurtosis-0.81335908
Mean27.474432
Median Absolute Deviation (MAD)22.9298
Skewness0.54462501
Sum8123612.7
Variance672.20757
MonotonicityNot monotonic
2022-12-20T14:15:58.955544image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
47.5412 1105
 
0.4%
48.0682 1104
 
0.4%
47.7793 1088
 
0.4%
47.2584 1081
 
0.4%
47.0253 1074
 
0.4%
48.6068 1068
 
0.4%
44.8125 1066
 
0.4%
46.7486 1063
 
0.4%
46.0259 1061
 
0.4%
45.7605 1057
 
0.4%
Other values (8282) 284912
96.4%
ValueCountFrequency (%)
0.0449 1
< 0.1%
0.0452 1
< 0.1%
0.0453 1
< 0.1%
0.0456 1
< 0.1%
0.0467 1
< 0.1%
0.0468 1
< 0.1%
0.0472 1
< 0.1%
0.0473 2
< 0.1%
0.0477 1
< 0.1%
0.0485 1
< 0.1%
ValueCountFrequency (%)
122.6378 3
 
< 0.1%
120.8197 1
 
< 0.1%
119.345 3
 
< 0.1%
117.6218 4
 
< 0.1%
116.223 4
 
< 0.1%
114.5874 7
 
< 0.1%
113.2589 7
 
< 0.1%
111.7044 22
< 0.1%
110.441 18
< 0.1%
108.9618 17
< 0.1%

R6 (MOhm)
Real number (ℝ)

Distinct8185
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.480014
Minimum0.0465
Maximum145.1587
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2022-12-20T14:15:59.115811image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0.0465
5-th percentile0.1218
Q10.9539
median14.2881
Q344.4533
95-th percentile74.2258
Maximum145.1587
Range145.1122
Interquartile range (IQR)43.4994

Descriptive statistics

Standard deviation25.686316
Coefficient of variation (CV)1.049277
Kurtosis-0.57458332
Mean24.480014
Median Absolute Deviation (MAD)14.1621
Skewness0.77086786
Sum7238226.1
Variance659.78683
MonotonicityNot monotonic
2022-12-20T14:15:59.269436image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
47.3106 938
 
0.3%
45.9557 933
 
0.3%
49.0116 930
 
0.3%
46.4788 924
 
0.3%
49.2798 918
 
0.3%
47.8646 913
 
0.3%
50.2138 911
 
0.3%
49.8802 900
 
0.3%
49.6055 899
 
0.3%
46.7691 899
 
0.3%
Other values (8175) 286514
96.9%
ValueCountFrequency (%)
0.0465 1
 
< 0.1%
0.0482 2
< 0.1%
0.0483 1
 
< 0.1%
0.0487 1
 
< 0.1%
0.0489 1
 
< 0.1%
0.0491 4
< 0.1%
0.0493 1
 
< 0.1%
0.0495 1
 
< 0.1%
0.0496 2
< 0.1%
0.0497 2
< 0.1%
ValueCountFrequency (%)
145.1587 1
 
< 0.1%
120.179 1
 
< 0.1%
115.3585 3
 
< 0.1%
113.6483 1
 
< 0.1%
112.2611 4
 
< 0.1%
110.6402 2
 
< 0.1%
109.3244 11
 
< 0.1%
107.7859 15
 
< 0.1%
106.5363 24
< 0.1%
105.0741 40
< 0.1%

R7 (MOhm)
Real number (ℝ)

Distinct8190
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.477603
Minimum0.0494
Maximum126.9913
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2022-12-20T14:15:59.433401image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0.0494
5-th percentile0.12
Q11.0501
median22.4465
Q347.778
95-th percentile76.3203
Maximum126.9913
Range126.9419
Interquartile range (IQR)46.7279

Descriptive statistics

Standard deviation26.356086
Coefficient of variation (CV)0.95918429
Kurtosis-0.82381968
Mean27.477603
Median Absolute Deviation (MAD)22.3055
Skewness0.57411826
Sum8124550.3
Variance694.64325
MonotonicityNot monotonic
2022-12-20T14:15:59.593845image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
47.2542 1110
 
0.4%
46.4664 1081
 
0.4%
49.4202 1066
 
0.4%
51.1767 1065
 
0.4%
48.0199 1059
 
0.4%
50.2568 1051
 
0.4%
48.3134 1045
 
0.4%
49.1134 1042
 
0.4%
49.9924 1042
 
0.4%
50.5778 1039
 
0.4%
Other values (8180) 285079
96.4%
ValueCountFrequency (%)
0.0494 1
< 0.1%
0.0506 1
< 0.1%
0.0518 1
< 0.1%
0.052 1
< 0.1%
0.0521 2
< 0.1%
0.0526 1
< 0.1%
0.0528 1
< 0.1%
0.0529 1
< 0.1%
0.0534 1
< 0.1%
0.0535 1
< 0.1%
ValueCountFrequency (%)
126.9913 1
 
< 0.1%
123.4452 1
 
< 0.1%
115.5214 1
 
< 0.1%
113.8957 1
 
< 0.1%
112.5752 1
 
< 0.1%
111.0301 2
 
< 0.1%
109.7743 11
 
< 0.1%
108.304 9
 
< 0.1%
107.1083 20
< 0.1%
105.7075 36
< 0.1%

R8 (MOhm)
Real number (ℝ)

Distinct6277
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.197989
Minimum0.031
Maximum96.8414
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2022-12-20T14:15:59.757152image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0.031
5-th percentile0.0974
Q19.7444
median23.8281
Q336.3407
95-th percentile54.8097
Maximum96.8414
Range96.8104
Interquartile range (IQR)26.5963

Descriptive statistics

Standard deviation17.93073
Coefficient of variation (CV)0.74100085
Kurtosis-0.60786824
Mean24.197989
Median Absolute Deviation (MAD)12.7289
Skewness0.25893892
Sum7154837.2
Variance321.5111
MonotonicityNot monotonic
2022-12-20T14:16:00.026499image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.099 922
 
0.3%
43.7627 899
 
0.3%
43.0331 898
 
0.3%
0.0985 887
 
0.3%
45.2505 887
 
0.3%
44.9727 884
 
0.3%
46.8407 884
 
0.3%
44.7437 884
 
0.3%
0.0987 880
 
0.3%
42.5736 878
 
0.3%
Other values (6267) 286776
97.0%
ValueCountFrequency (%)
0.031 1
 
< 0.1%
0.032 1
 
< 0.1%
0.0323 1
 
< 0.1%
0.0325 1
 
< 0.1%
0.0328 1
 
< 0.1%
0.0331 2
< 0.1%
0.0333 3
< 0.1%
0.0334 2
< 0.1%
0.0335 1
 
< 0.1%
0.0336 2
< 0.1%
ValueCountFrequency (%)
96.8414 1
 
< 0.1%
94.5965 1
 
< 0.1%
92.4523 1
 
< 0.1%
91.3229 4
< 0.1%
90.4024 4
< 0.1%
89.3217 2
 
< 0.1%
88.4405 7
< 0.1%
87.4055 4
< 0.1%
86.5611 7
< 0.1%
85.5689 7
< 0.1%

R9 (MOhm)
Real number (ℝ)

Distinct6349
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.96928
Minimum0.0289
Maximum73.8555
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2022-12-20T14:16:00.216954image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0.0289
5-th percentile0.0953
Q15.0285
median17.0911
Q328.4082
95-th percentile49.053
Maximum73.8555
Range73.8266
Interquartile range (IQR)23.3797

Descriptive statistics

Standard deviation15.754608
Coefficient of variation (CV)0.83053272
Kurtosis-0.20054505
Mean18.96928
Median Absolute Deviation (MAD)11.6298
Skewness0.64749097
Sum5608817.8
Variance248.20766
MonotonicityNot monotonic
2022-12-20T14:16:00.376610image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0961 2346
 
0.8%
0.0962 2342
 
0.8%
0.0963 2326
 
0.8%
0.096 2253
 
0.8%
0.0958 2110
 
0.7%
0.0957 2062
 
0.7%
0.0965 2057
 
0.7%
0.0956 1921
 
0.6%
0.0954 1825
 
0.6%
0.0953 1640
 
0.6%
Other values (6339) 274797
92.9%
ValueCountFrequency (%)
0.0289 1
 
< 0.1%
0.029 2
 
< 0.1%
0.0291 2
 
< 0.1%
0.0292 2
 
< 0.1%
0.0293 3
< 0.1%
0.0294 5
< 0.1%
0.0296 2
 
< 0.1%
0.0297 3
< 0.1%
0.0298 3
< 0.1%
0.0299 1
 
< 0.1%
ValueCountFrequency (%)
73.8555 2
 
< 0.1%
73.1532 2
 
< 0.1%
72.5778 4
 
< 0.1%
71.8992 6
 
< 0.1%
71.3431 11
 
< 0.1%
70.6869 11
 
< 0.1%
70.1491 15
 
< 0.1%
69.5143 41
< 0.1%
68.9939 33
< 0.1%
68.3795 49
< 0.1%

R10 (MOhm)
Real number (ℝ)

Distinct6475
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.800602
Minimum0.036
Maximum108.5233
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2022-12-20T14:16:00.551628image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0.036
5-th percentile0.1163
Q18.2554
median21.6024
Q334.9838
95-th percentile53.4654
Maximum108.5233
Range108.4873
Interquartile range (IQR)26.7284

Descriptive statistics

Standard deviation17.526052
Coefficient of variation (CV)0.76866618
Kurtosis-0.56102576
Mean22.800602
Median Absolute Deviation (MAD)13.3814
Skewness0.36885354
Sum6741659.3
Variance307.1625
MonotonicityNot monotonic
2022-12-20T14:16:00.711855image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1186 1468
 
0.5%
0.1184 1417
 
0.5%
0.1178 1416
 
0.5%
0.1179 1403
 
0.5%
0.118 1359
 
0.5%
0.1194 1356
 
0.5%
0.1183 1338
 
0.5%
0.1187 1336
 
0.5%
0.1182 1329
 
0.4%
0.1195 1326
 
0.4%
Other values (6465) 281931
95.4%
ValueCountFrequency (%)
0.036 1
< 0.1%
0.0362 1
< 0.1%
0.0364 1
< 0.1%
0.0366 1
< 0.1%
0.0369 1
< 0.1%
0.0371 1
< 0.1%
0.0373 1
< 0.1%
0.0374 2
< 0.1%
0.0375 1
< 0.1%
0.0377 1
< 0.1%
ValueCountFrequency (%)
108.5233 1
 
< 0.1%
90.6767 1
 
< 0.1%
88.0388 1
 
< 0.1%
87.0883 4
 
< 0.1%
86.3116 3
 
< 0.1%
84.6501 3
 
< 0.1%
83.7703 4
 
< 0.1%
83.0507 5
 
< 0.1%
82.2033 12
< 0.1%
81.51 14
< 0.1%

R11 (MOhm)
Real number (ℝ)

Distinct6282
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.868461
Minimum0.0305
Maximum87.3522
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2022-12-20T14:16:00.877226image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0.0305
5-th percentile0.1072
Q19.80515
median26.2573
Q339.0796
95-th percentile56.076
Maximum87.3522
Range87.3217
Interquartile range (IQR)29.27445

Descriptive statistics

Standard deviation18.46762
Coefficient of variation (CV)0.71390486
Kurtosis-0.74639718
Mean25.868461
Median Absolute Deviation (MAD)13.1813
Skewness0.094133111
Sum7648760.6
Variance341.05298
MonotonicityNot monotonic
2022-12-20T14:16:01.029991image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.108 2244
 
0.8%
0.1082 2224
 
0.8%
0.1081 2211
 
0.7%
0.1078 2049
 
0.7%
0.1084 2008
 
0.7%
0.1077 1950
 
0.7%
0.1072 1942
 
0.7%
0.1075 1924
 
0.7%
0.1074 1877
 
0.6%
0.1073 1850
 
0.6%
Other values (6272) 275400
93.1%
ValueCountFrequency (%)
0.0305 2
< 0.1%
0.0311 4
< 0.1%
0.0312 1
 
< 0.1%
0.0313 2
< 0.1%
0.0315 2
< 0.1%
0.0316 1
 
< 0.1%
0.0317 3
< 0.1%
0.0318 3
< 0.1%
0.0319 1
 
< 0.1%
0.032 4
< 0.1%
ValueCountFrequency (%)
87.3522 5
 
< 0.1%
86.5731 5
 
< 0.1%
85.6562 5
 
< 0.1%
84.9067 13
 
< 0.1%
84.0241 8
 
< 0.1%
83.3024 20
< 0.1%
82.4524 26
< 0.1%
81.757 27
< 0.1%
80.9377 29
< 0.1%
80.2672 44
< 0.1%

R12 (MOhm)
Real number (ℝ)

Distinct6308
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.153311
Minimum0.0327
Maximum85.0777
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2022-12-20T14:16:01.189870image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0.0327
5-th percentile0.1067
Q18.8643
median21.8891
Q334.0402
95-th percentile48.6557
Maximum85.0777
Range85.045
Interquartile range (IQR)25.1759

Descriptive statistics

Standard deviation16.297502
Coefficient of variation (CV)0.73566892
Kurtosis-0.62233518
Mean22.153311
Median Absolute Deviation (MAD)12.2749
Skewness0.21718247
Sum6550268.8
Variance265.60858
MonotonicityNot monotonic
2022-12-20T14:16:01.339882image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.108 1315
 
0.4%
0.1082 1258
 
0.4%
0.1079 1244
 
0.4%
0.1083 1222
 
0.4%
0.1078 1212
 
0.4%
0.1084 1198
 
0.4%
0.1072 1134
 
0.4%
0.1076 1107
 
0.4%
0.1086 1092
 
0.4%
0.1075 1090
 
0.4%
Other values (6298) 283807
96.0%
ValueCountFrequency (%)
0.0327 2
< 0.1%
0.0328 1
 
< 0.1%
0.0329 2
< 0.1%
0.033 3
< 0.1%
0.0331 3
< 0.1%
0.0334 3
< 0.1%
0.0335 1
 
< 0.1%
0.0336 3
< 0.1%
0.0337 3
< 0.1%
0.0338 4
< 0.1%
ValueCountFrequency (%)
85.0777 1
 
< 0.1%
84.1934 3
 
< 0.1%
83.4702 2
 
< 0.1%
82.6184 2
 
< 0.1%
81.9217 6
 
< 0.1%
81.1007 5
 
< 0.1%
80.4289 11
 
< 0.1%
79.6371 14
< 0.1%
78.9889 34
< 0.1%
78.2247 25
< 0.1%

R13 (MOhm)
Real number (ℝ)

Distinct6427
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.602684
Minimum0.0321
Maximum75.4135
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2022-12-20T14:16:01.497881image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0.0321
5-th percentile0.0996
Q16.5551
median18.16
Q330.1552
95-th percentile46.783
Maximum75.4135
Range75.3814
Interquartile range (IQR)23.6001

Descriptive statistics

Standard deviation15.361132
Coefficient of variation (CV)0.78362395
Kurtosis-0.52177817
Mean19.602684
Median Absolute Deviation (MAD)11.9952
Skewness0.43070725
Sum5796101.9
Variance235.96439
MonotonicityNot monotonic
2022-12-20T14:16:01.653580image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1027 1078
 
0.4%
0.1025 1077
 
0.4%
0.1026 1074
 
0.4%
0.1023 1045
 
0.4%
0.1019 1037
 
0.4%
0.1022 1036
 
0.4%
0.1029 1003
 
0.3%
0.1018 991
 
0.3%
0.1017 984
 
0.3%
0.1021 983
 
0.3%
Other values (6417) 285371
96.5%
ValueCountFrequency (%)
0.0321 1
 
< 0.1%
0.0328 1
 
< 0.1%
0.033 1
 
< 0.1%
0.0335 2
 
< 0.1%
0.0336 1
 
< 0.1%
0.0338 2
 
< 0.1%
0.0339 2
 
< 0.1%
0.0341 1
 
< 0.1%
0.0342 1
 
< 0.1%
0.0343 5
< 0.1%
ValueCountFrequency (%)
75.4135 3
 
< 0.1%
74.7083 2
 
< 0.1%
74.1305 3
 
< 0.1%
73.4487 15
< 0.1%
72.8899 12
< 0.1%
72.2303 16
< 0.1%
71.6896 15
< 0.1%
71.0511 22
< 0.1%
70.5276 22
< 0.1%
69.9094 14
< 0.1%

R14 (MOhm)
Real number (ℝ)

Distinct6260
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.614016
Minimum0.0313
Maximum104.6376
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2022-12-20T14:16:01.826107image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0.0313
5-th percentile0.1058
Q19.2714
median24.4114
Q339.772
95-th percentile59.467
Maximum104.6376
Range104.6063
Interquartile range (IQR)30.5006

Descriptive statistics

Standard deviation19.444796
Coefficient of variation (CV)0.75914674
Kurtosis-0.79656818
Mean25.614016
Median Absolute Deviation (MAD)15.3606
Skewness0.27711123
Sum7573526.6
Variance378.10011
MonotonicityNot monotonic
2022-12-20T14:16:01.985715image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.107 2212
 
0.7%
0.1069 2212
 
0.7%
0.1067 2198
 
0.7%
0.1066 2129
 
0.7%
0.1064 1982
 
0.7%
0.1071 1951
 
0.7%
0.1063 1893
 
0.6%
0.1062 1803
 
0.6%
0.1061 1774
 
0.6%
0.1072 1718
 
0.6%
Other values (6250) 275807
93.3%
ValueCountFrequency (%)
0.0313 1
 
< 0.1%
0.0316 2
 
< 0.1%
0.0317 1
 
< 0.1%
0.0318 4
< 0.1%
0.032 4
< 0.1%
0.0321 4
< 0.1%
0.0324 1
 
< 0.1%
0.0325 3
< 0.1%
0.0326 6
< 0.1%
0.0327 5
< 0.1%
ValueCountFrequency (%)
104.6376 1
 
< 0.1%
88.7468 1
 
< 0.1%
82.7549 1
 
< 0.1%
82.0441 3
 
< 0.1%
81.2069 6
 
< 0.1%
80.522 11
 
< 0.1%
79.7151 16
< 0.1%
79.0547 22
< 0.1%
78.2765 35
< 0.1%
77.6394 39
< 0.1%

Interactions

2022-12-20T14:15:49.235363image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:14:40.303281image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:14:44.527546image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:14:48.032040image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:14:51.522795image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:14:55.106754image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:14:58.511820image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:02.377038image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:05.860326image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:09.510928image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:13.186115image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:16.700944image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:20.375663image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:23.983462image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:27.638297image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:31.248860image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:34.872741image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:38.485836image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:41.960854image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:45.494941image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:49.403013image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:14:40.488748image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:14:44.684554image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:14:48.188689image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:14:51.686469image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:14:55.262426image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:14:58.685881image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:02.561471image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:06.028509image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:09.679085image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:13.352223image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:16.890177image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:20.551374image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:24.153826image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:27.807067image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:31.420777image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:35.036835image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:38.648185image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:42.118970image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:45.663584image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:49.592022image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:14:40.670160image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:14:44.863970image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:14:48.370193image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:14:51.864564image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:14:55.446596image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:14:58.867680image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:02.748766image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:06.226646image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:09.874709image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:13.532203image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:17.085062image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:20.748202image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:24.343743image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:27.994074image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:31.616390image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:35.217438image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:38.829472image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:42.312069image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:45.897388image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:49.769882image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:14:40.847920image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:14:45.030599image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:14:48.539726image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:14:52.036233image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:14:55.619681image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:14:59.048694image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:02.926095image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:06.405890image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:10.054712image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:13.707171image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:17.265442image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:20.931206image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:24.514757image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:28.166566image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:31.795541image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:35.398322image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:39.008452image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:42.483594image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:46.083974image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:49.956061image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:14:41.026651image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:14:45.209773image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:14:48.716787image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:14:52.224899image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:14:55.795723image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:14:59.230976image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:03.112322image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:06.592960image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:10.241655image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:13.889816image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:17.462033image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:21.120812image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:24.798318image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:28.352707image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:31.991971image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:35.581505image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:39.190163image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:42.669176image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:46.278135image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:50.132044image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:14:41.203817image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:14:45.418731image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:14:48.876505image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:14:52.393129image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:14:55.965158image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:14:59.406482image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:03.279098image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:06.767740image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:10.414969image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:14.058575image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:17.638445image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:21.298747image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:24.968589image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:28.527208image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:32.166568image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:35.757740image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:39.363913image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:42.836391image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:46.456443image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:50.320426image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:14:41.387675image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:14:45.665756image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:14:49.050298image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:14:52.568251image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:14:56.140456image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:14:59.589764image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:03.462237image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:07.047035image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:10.607578image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:14.235896image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:17.827526image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:21.487079image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:25.151751image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:28.710151image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:32.356013image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:35.938875image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:39.545442image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:43.013019image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:46.644396image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:50.493039image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:14:41.554381image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:14:45.829378image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:14:49.208007image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:14:52.739185image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:14:56.313142image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:14:59.765809image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:03.628869image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:07.218510image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:10.783533image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:14.404381image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:18.006485image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:21.662012image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:25.322741image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:28.877673image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:32.530561image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:36.112442image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:39.719343image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:43.271233image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:46.819644image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:50.674045image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:14:41.733699image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:14:46.001533image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:14:49.375772image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:14:52.918078image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:14:56.482536image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
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2022-12-20T14:14:58.165222image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:01.871589image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:05.517410image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:09.153898image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:12.829791image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:16.276277image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:20.025074image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:23.619360image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:27.278878image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:30.891330image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:34.512519image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:38.135058image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:41.611974image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:45.150205image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:48.786453image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:52.599897image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:14:44.379605image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:14:47.861994image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:14:51.359880image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:14:54.846373image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:14:58.345676image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:02.113590image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:05.694409image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:09.337646image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:13.015238image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:16.522048image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:20.205561image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:23.808146image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:27.469339image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:31.075514image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:34.699438image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:38.312906image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:41.793219image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:45.325709image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-20T14:15:48.971583image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Correlations

2022-12-20T14:16:02.252924image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Auto

The auto setting is an interpretable pairwise column metric of the following mapping:
  • Variable_type-Variable_type : Method, Range
  • Categorical-Categorical : Cramer's V, [0,1]
  • Numerical-Categorical : Cramer's V, [0,1] (using a discretized numerical column)
  • Numerical-Numerical : Spearman's ρ, [-1,1]
The number of bins used in the discretization for the Numerical-Categorical column pair can be changed using config.correlations["auto"].n_bins. The number of bins affects the granularity of the association you wish to measure.

This configuration uses the recommended metric for each pair of columns.
2022-12-20T14:16:02.518201image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2022-12-20T14:16:02.789639image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2022-12-20T14:16:03.061472image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2022-12-20T14:16:03.333709image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

2022-12-20T14:15:52.893981image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
A simple visualization of nullity by column.
2022-12-20T14:15:53.965370image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

Time (s)CO (ppm)Humidity (%r.h.)Temperature (C)Flow rate (mL/min)Heater voltage (V)R1 (MOhm)R2 (MOhm)R3 (MOhm)R4 (MOhm)R5 (MOhm)R6 (MOhm)R7 (MOhm)R8 (MOhm)R9 (MOhm)R10 (MOhm)R11 (MOhm)R12 (MOhm)R13 (MOhm)R14 (MOhm)
00.0000.032.70239.9032240.80690.89000.07380.13140.09870.09360.10260.11520.11050.08910.09510.10830.10370.10090.09270.1009
10.3070.045.569913.7998240.80290.89500.07860.12860.10190.09320.10510.11290.11280.09050.09580.11030.10430.10250.09420.1020
20.6170.058.553917.7318240.79890.89790.08160.12870.10520.09400.10750.11280.11490.09180.09660.11190.10500.10360.09580.1028
30.9240.071.412321.6256240.79490.89710.08340.13030.10830.09540.11000.11380.11720.09280.09720.11300.10540.10440.09680.1033
41.2340.083.810025.3800240.79170.89800.08510.13240.11120.09670.11200.11510.11940.09360.09760.11380.10570.10490.09750.1038
51.5410.083.810025.3800240.80610.89860.08670.13430.11380.09810.11390.11650.12130.09420.09800.11440.10580.10530.09800.1041
61.8500.083.810025.3800240.82060.89860.08790.13630.11600.09920.11560.11780.12330.09470.09810.11480.10590.10580.09850.1045
72.1600.083.810025.3800240.83510.89800.08910.13820.11790.10050.11710.11910.12460.09520.09830.11520.10620.10600.09880.1046
82.4690.083.810025.3800240.80950.89900.09010.13990.11990.10170.11870.12020.12600.09550.09850.11530.10620.10620.09920.1047
92.7790.083.810025.3800240.77420.89820.09120.14130.12130.10250.12000.12120.12740.09580.09860.11550.10640.10630.09930.1047
Time (s)CO (ppm)Humidity (%r.h.)Temperature (C)Flow rate (mL/min)Heater voltage (V)R1 (MOhm)R2 (MOhm)R3 (MOhm)R4 (MOhm)R5 (MOhm)R6 (MOhm)R7 (MOhm)R8 (MOhm)R9 (MOhm)R10 (MOhm)R11 (MOhm)R12 (MOhm)R13 (MOhm)R14 (MOhm)
29566990904.8340.065.5925.780.00.89820.09590.15150.12980.10870.06750.08010.12130.10810.09860.12130.03670.07000.12810.1354
29567090905.1420.065.5925.780.00.89800.21090.58380.90630.63740.98461.12921.62481.04411.09171.53632.67804.27965.77427.0926
29567190905.4510.065.5925.780.00.21092.14325.19808.04125.22737.51778.420611.461621.186417.050020.787427.923731.995729.843140.1490
29567290905.7580.065.5925.780.00.206711.021422.934833.456817.825830.461731.239837.515551.975241.826350.951257.145255.092942.594458.5835
29567390906.0680.065.5925.780.00.204031.659750.987361.431229.209855.419257.649065.499274.580051.781356.972560.760764.465548.117864.3090
29567490906.3780.065.5925.780.00.202752.209168.074780.693234.592374.195172.919773.186262.014855.964162.798767.301463.115847.062964.3090
29567590906.6870.065.5925.780.00.202066.483775.034579.236935.103869.502572.919781.345372.638154.175256.972561.225061.741448.662866.2847
29567690906.9960.065.5925.780.00.201067.036875.619475.163834.269172.964376.210275.720161.076955.964156.235467.869762.219746.278262.9436
29567790907.3050.065.5925.780.00.200868.557176.333271.484433.809363.467766.428168.589565.582155.624155.196262.094756.188946.052362.9436
29567890907.6140.065.5925.780.00.200061.410066.029665.631832.161662.561063.905564.529261.585055.221453.167559.482054.778547.062963.3641